#!/usr/bin/env python from __future__ import annotations import spaces import gradio as gr import torch import PIL.Image import numpy as np from app_canny import create_demo as create_demo_canny from app_depth import create_demo as create_demo_depth from app_ip2p import create_demo as create_demo_ip2p from app_lineart import create_demo as create_demo_lineart from app_mlsd import create_demo as create_demo_mlsd from app_normal import create_demo as create_demo_normal from app_openpose import create_demo as create_demo_openpose from app_scribble import create_demo as create_demo_scribble from app_scribble_interactive import create_demo as create_demo_scribble_interactive from app_segmentation import create_demo as create_demo_segmentation from app_shuffle import create_demo as create_demo_shuffle from app_softedge import create_demo as create_demo_softedge from app_tile import create_demo as create_demo_tile from model import Model from settings import ALLOW_CHANGING_BASE_MODEL, DEFAULT_MODEL_ID, SHOW_DUPLICATE_BUTTON DESCRIPTION = r""" # ControlLoRA Version 3: LoRA Is All You Need to Control the Spatial Information of Stable Diffusion
[Models] [Github]
""" model = Model(base_model_id=DEFAULT_MODEL_ID, task_name="Canny") with gr.Blocks(css="style.css") as demo: gr.Markdown(DESCRIPTION) gr.DuplicateButton( value="Duplicate Space for private use", elem_id="duplicate-button", visible=SHOW_DUPLICATE_BUTTON, ) with gr.Tabs(): with gr.TabItem("Canny"): create_demo_canny(spaces.GPU(model.process_canny)) # with gr.TabItem("MLSD"): # create_demo_mlsd(spaces.GPU(model.process_mlsd)) # with gr.TabItem("Scribble"): # create_demo_scribble(spaces.GPU(model.process_scribble)) # with gr.TabItem("Scribble Interactive"): # create_demo_scribble_interactive(spaces.GPU(model.process_scribble_interactive)) # with gr.TabItem("SoftEdge"): # create_demo_softedge(spaces.GPU(model.process_softedge)) with gr.TabItem("OpenPose"): create_demo_openpose(spaces.GPU(model.process_openpose)) with gr.TabItem("Segmentation"): create_demo_segmentation(spaces.GPU(model.process_segmentation)) with gr.TabItem("Depth"): create_demo_depth(spaces.GPU(model.process_depth)) with gr.TabItem("Normal map"): create_demo_normal(spaces.GPU(model.process_normal)) # with gr.TabItem("Lineart"): # create_demo_lineart(spaces.GPU(model.process_lineart)) # with gr.TabItem("Content Shuffle"): # create_demo_shuffle(spaces.GPU(model.process_shuffle)) # with gr.TabItem("Instruct Pix2Pix"): # create_demo_ip2p(spaces.GPU(model.process_ip2p)) with gr.TabItem("Tile"): create_demo_tile(spaces.GPU(model.process_tile)) with gr.Accordion(label="Base model", open=False): with gr.Row(): with gr.Column(scale=5): current_base_model = gr.Text(label="Current base model") with gr.Column(scale=1): check_base_model_button = gr.Button("Check current base model") with gr.Row(): with gr.Column(scale=5): new_base_model_id = gr.Text( label="New base model", max_lines=1, placeholder="SG161222/Realistic_Vision_V4.0_noVAE", info="The base model must be compatible with Stable Diffusion v1.5.", interactive=ALLOW_CHANGING_BASE_MODEL, ) with gr.Column(scale=1): change_base_model_button = gr.Button("Change base model", interactive=ALLOW_CHANGING_BASE_MODEL) if not ALLOW_CHANGING_BASE_MODEL: gr.Markdown( """The base model is not allowed to be changed in this Space so as not to slow down the demo, but it can be changed if you duplicate the Space.""" ) check_base_model_button.click( fn=lambda: model.base_model_id, outputs=current_base_model, queue=False, api_name="check_base_model", ) gr.on( triggers=[new_base_model_id.submit, change_base_model_button.click], fn=model.set_base_model, inputs=new_base_model_id, outputs=current_base_model, api_name=False, ) if __name__ == "__main__": demo.queue(max_size=20).launch()